Image created with OpenAI gpt-image-1. Image prompt: Single-panel cartoon with loose, hand‑inked lines, bean‑bodied figures, muted flat colors, minimal props, and deadpan humor: Two mirrors face each other—inside the infinite reflections, office workers keep scheduling more meetings. Large bold title text centered at top: “META” Muted colors, flat shading, black ink outlines. 16:9. Caption: “Meta meeting enters infinite recursion.”
“Wait, Nvidia dropped a 4 MILLION context length Llama 3.1 Nemotron 🤯 could literally drop entire codebases in it! https://x.com/reach_vb/status/1912743420851875986
Road to VR on X: “Report: Apple CEO “cares about nothing else” Than Building Breakout AR Glasses Before Meta See more 👉https://t.co/YAf6q53ySS https://t.co/RO1g8n0t2t” / X
“”wow 0.06% per book, so with just 1667 books we should get 100%!” You’re either: (a) poor at stats (b) never ran experiments (c) intentionally obtuse/just memeing. I’ll give you the benefit of the doubt and assume it’s (c). Think about it: what experiment needs to be conducted https://x.com/giffmana/status/1914245144422776906
“Don’t sleep on this! 🔥 @Meta dropped swiss army knives for vision with A2.0 license ❤️ > image/video encoders for vision language and spatial understanding (object detection etc) > VLM outperforms InternVL3 and Qwen2.5VL 🔥 > Gigantic video and image datasets 👏 https://x.com/mervenoyann/status/1915723394701467909
How Litmos is using Llama to make corporate learning more intuitive https://ai.meta.com/blog/litmos-llama-intuitive-corporate-learning/
Andrew Curran on X: “Interesting legal argument from META; the use of a single book for pretraining boosts model performance by ‘less than 0.06%.’ Therefore, taken individually, a work has no economic value as training data. https://t.co/09CnfRvmB5” / X
https://x.com/AndrewCurran_/status/1914045840265789540
“Llama 4 Maverick illustrates a key challenge in calculating AI training compute: How to account for when a smaller model is trained using a larger model’s outputs? We’re updating our methodology and removing Maverick from our list of models exceeding 1e25 FLOP. Here’s why… 🧵 https://x.com/EpochAIResearch/status/1913329195171688742
“ByteDance announces Vidi on Hugging Face Large Multimodal Models for Video Understanding and Editing https://x.com/_akhaliq/status/1914925322413264937
“Meta released WebSSL DINO & ViT models on Hugging Face 300M to 7B 🔥 Notes: > Visual SSL outperforms CLIP on Vision-Centric VQA and closes the gap on OCR & Chart tasks when scaled properly > CLIP saturates at 3B parameters, while SSL shows log-linear improvements up to 7B+ > https://x.com/reach_vb/status/1915453821251375552
Working With Parents to Enroll Teens Into Teen Accounts | Meta https://about.fb.com/news/2025/04/meta-parents-new-technology-enroll-teens-teen-accounts/
“Researchers from Meta, the University of Washington, and the University of Chicago introduced Byte Latent Transformer (BLT), a language model architecture that operates directly on bytes instead of tokens. BLT dynamically groups bytes based on how predictable they are, using https://x.com/DeepLearningAI/status/1915103765981454512
“📷 Hello Singapore! Meta is at #ICLR2025 EXPO 📷 Meta will be in Singapore this week for #ICLR25! Stop by our booth to chat with our team or learn more about our latest research. Things to know: 📷 Find us @ Booth #L03 (Rows 3-4, Columns L-M) in Hall 2. 📷 We’re sharing 50+ https://x.com/AIatMeta/status/1915437886209745338
“Fully sharded systems use fixed strategies, ignoring dynamic memory changes during training. DeepCompile compiles models into graphs, using profiling-guided passes to flexibly time operations based on runtime memory. It boosts Llama 3 70B/Mixtral 8x7B training up to https://x.com/rohanpaul_ai/status/1914866314122015149
“LlamaIndex’s integration with @milvusio now supports full-text search with BM25! Full-text search allows hybrid search for RAG pipelines, combining the power of vector search and traditional keyword matching. Check out how to use the integration in this tutorial: https://x.com/llama_index/status/1914815391798534571
